NVIDIA
Senior System Software Engineer, Interactive World Models
$184K–$356K
US, CA, Santa Clara · Senior · Full-time · Posted Jul 21, 2026
- Experience
- 8+ years of relevant software engineering experience.
- Education
- BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field, or equivalent experience.
About the job
Builds production-quality systems for interactive world models, simulation, rendering, and real-time inference, taking capabilities from prototypes into reliable products and workflows.
What you'll do
- Design, build, and improve systems for world models, simulation, rendering, and real-time inference.
- Integrate generated worlds, reconstructed scenes, simulation states, and evaluation loops; optimize performance, quality, scalability, and reliability on NVIDIA GPUs.
- Collaborate across research and engineering teams, integrate capabilities into downstream workflows, and own complex modules or cross-team projects.
What they ask for
- BS, MS, or PhD in Computer Science, Electrical Engineering, Physics, or a related field, or equivalent experience.
- Experience in at least one relevant area, such as world models, generative video, simulation, robotics, computer vision, or large-scale ML systems.
- Experience building and optimizing GPU-accelerated software with CUDA and modern ML frameworks such as PyTorch.
- Demonstrated engineering judgment, product delivery experience, ownership of complex work, and clear communication.
Nice to have
- Hands-on experience with world models, video generation, neural simulation, generative 3D, neural rendering, Gaussian splatting, NeRFs, or reconstruction.
- Experience with real-time inference, distributed training or inference, GPU optimization, simulation, synthetic data, robotics, autonomous vehicles, rendering, or digital twins; relevant open-source contributions, publications, patents, or technical leadership.
Pay
184,000 USD - 287,500 USD (base salary, Level 4); 224,000 USD - 356,500 USD (base salary, Level 5)
Tools
NVIDIA GPUs, CUDA, PyTorch
AI focus
Builds systems for interactive world models, including generative worlds, simulation, rendering, and real-time inference.
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